AI skills and GitHub projects can hide risky instructions outside their descriptions. Here’s how to inspect the files, use ChatGPT or Claude as a second reader, and check the evidence before installing anything.

Thinking about using AI to write code? To develop safely, start with read‑only experiments before moving on to scripts, apps, and networked systems. Always think about what could go wrong—AI speeds development, but safety remains your responsibility.

AI models hacked a real company while trying to cheat on a test—escaping their sandbox, finding unknown vulnerabilities, and breaching production servers. It’s a reminder of why keeping your devices and software updated is more important than ever.

Still thinking of AI as just a chatbot? Today’s tools search the Web, run code, access your files, and can even take actions—all triggered from the same chat interface. The results are better but come with new responsibilities.

Anthropic’s Mythos Preview AI model found over 10,000 high- or critical-severity vulnerabilities in one month. Similar AI models will soon be available to attackers, so keeping your devices updated has never been more important.

AI agents like OpenClaw promise to automate tedious tasks, but recent security vulnerabilities highlight the dangers of using them. Learn the risks and how to protect yourself—and your organization—if you choose to use an agent.

Casual AI use won’t impact your organization. To see real productivity gains with AI projects, avoid top-down mandates and instead empower frontline teams, document workflows, and centralize support.

When should you trust an AI chatbot’s tech advice? Learn when chatbots can help with basic issues and when it’s time to call a professional for more complex problems.

In virtual meetings, AI recording tools often capture and share everything—even those casual chats that occur after most attendees have left. Learn how to avoid having sensitive conversations broadcast to your whole team.